公开(公告)号：EP4336442A1

公开(公告)日：2024-03-13

申请号：EP22194886.2

申请日：2022-09-09

申请人： Guerbet ,  Institut Mines Telecom

发明人： VETIL, Rebeca ,  ABI-NADER, Clément ,  BÔNE, Alexandre ,  ROHÉ, Marc-Michel ,  GORI, Pietro ,  BLOCH, Isabelle

IPC分类号： G06T7/00

摘要： The invention relates to a method implemented by computer means for characterizing at least one organ of a patient in at least one medical image, said method comprising the following iterative steps of:
segmenting (6) said organ in at least one image (7) representing a healthy organ, so as to obtain at least one segmentation mask (8) of said healthy organ,
generating additional segmentation masks of said healthy organ, using at least one data augmentation method (9) on the basis of the segmentation mask obtained in step (a), said data augmentation method (9) being a shape-preserving method,
training an autoencoder (10) with the segmentation mask obtained in step (a) and the additional segmentation masks obtained in step (b) to encode the shape of said organ in a latent space (11).

公开(公告)号：EP4459544A1

公开(公告)日：2024-11-06

申请号：EP23171161.5

申请日：2023-05-02

申请人： Guerbet

发明人： ABI-NADER, Clément ,  VÉTIL, Rebeca ,  ROHÉ, Marc-Michel

IPC分类号： G06T7/00 ,  G06T7/11

摘要： The invention relates to a method implemented by computer means for Method for detecting at least one lesion of a pancreas of a patient in at least one medical image, for example portal venous computed tomography (CT) scans. A segmentation network is trained in a 5-fold cross-validation manner. Then, outputs of this network are postprocessed to extract imaging features: a normalized lesion risk, the predicted lesion diameter, and the MPD diameter in the head, body, and tail of the pancreas. A logistic regression model is calibrated to predict lesion presence based on said features.

公开(公告)号：EP4452070A1

公开(公告)日：2024-10-30

申请号：EP22836260.4

申请日：2022-12-20

申请人： Guerbet ,  Institut Gustave-Roussy

发明人： BONE, Alexandre ,  ROHÉ, Marc-Michel ,  LASSAU, Nathalie ,  AMMARI, Samy ,  ROBERT, Philippe

IPC分类号： A61B6/00 ,  G06V10/774 ,  G06V10/82 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50 ,  G16H50/70 ,  G01R33/56

公开(公告)号：EP4311512A1

公开(公告)日：2024-01-31

申请号：EP22306150.8

申请日：2022-07-29

申请人： Guerbet ,  Institut National de Recherche en Informatique et en Automatique ,  Institut National de la Santé et de la Recherche Médicale (INSERM) ,  Assistance Publique - Hôpitaux de Paris ,  Université Paris-Saclay

发明人： Ali, Omar ,  BÔNE, ALEXANDRE ,  ROHÉ, Marc-Michel ,  Vibert, Eric ,  Vignon-Clementel, Irène

IPC分类号： A61B34/10

摘要： The invention relates to a computer-implemented method of liver resection surgery planning, comprising the steps of:
- processing (E2) preoperative computed tomographic images (10) of a patient to generate liver, liver lesion(ss) and venous vessels segmentations;
- pruning the venous vessels segmentation to retain only major vessels and determining (E3) a primary hepatic zone (PHZ) from the retained major vessels;
- determining (E4) at least one quantitative feature from the primary hepatic zone, the liver segmentation and the liver lesion(s) segmentation;
- processing (E5) the determined quantitative features with a classification model to determine a liver resection complexity score for the patient.

公开(公告)号：EP4307218A1

公开(公告)日：2024-01-17

申请号：EP22306046.8

申请日：2022-07-12

申请人： Guerbet

发明人： ABI NADER, Clément ,  VÉTIL, Rebecca ,  ROHÉ, Marc-Michel

IPC分类号： G06T7/00 ,  G06V10/46 ,  G06V10/82 ,  G06V20/70

摘要： The invention relates to a method implemented by computer means for a method implemented by computer means for classifying at least one medical image of at least an organ of a patient, said method including an inference phase comprising the following iterative steps:
(a) segmenting at least one area of interest of said image, said area representing at least one an area of said organ,
(b) extracting at least one feature from said area of interest,
(c) classifying said area of interest on the basis of said feature,
(d) outputting said class of said area of interest.